Liquor Store Inventory Management
Every bottle, every case, every location — accounted for.
Stock Levels Across Every Location
One screen shows you what you have at every store. Transfers, receiving, and adjustments update immediately. Register sales sync every few minutes. No guessing. No calling the other store to ask what’s on the shelf. You open the screen and you know.
Case, Pack, and Single Tracking
A 12-pack isn’t 12 singles. A case of wine isn’t the same as a case of spirits. mPower tracks every unit type and converts between them automatically. Receive in cases, sell in singles, count in both. The system handles the math so your numbers stay right.
Velocity and Days of Supply
Know what’s selling fast and what’s sitting. Days-of-supply per item per location tells you exactly how long your current stock will last at the current sales pace. Stop over-ordering the slow movers. Stop running out of the fast ones. Make ordering decisions based on data, not gut feel.
AI-Powered Replenishment Rules
Tell the system what you care about in plain English. “Don’t let Tito’s drop below 2 weeks of supply.” “Alert me when any vodka SKU is down to 5 days.” “Generate a PO for Glazer’s every Monday.” The system translates your words into rules that run automatically and alert you when something needs attention.
Vendor Invoice Import
Upload a vendor invoice PDF. AI reads every line item, matches each one to your catalog, and flags any cost changes from the last order. No manual data entry. No missed price increases. Review the matches, approve, and you’re done. What used to take 45 minutes takes 5.
Handheld Scanning
Zebra devices for receiving, cycle counts, and price checks from anywhere in the store. Walk the aisles and scan. The counts go straight into the system. No clipboard, no spreadsheet, no re-keying numbers at the end of the night. Your team can receive a delivery and have inventory updated before the truck leaves the parking lot.
Shrinkage Detection
Compare what the system says you should have to what you actually count on the shelf. See the gaps by category, by location, by time period. Spot patterns early — is it happening on a specific shift? In a specific department? With specific products? The data tells you where to look before the losses add up.